System and method for financial matching

ABSTRACT

A trading platform for trading financial instruments, and in particular for clearing odd lots, that provides the ability to receive, manage, match, and supervise orders. In an exemplary embodiment, the trading platform includes computer software modules and provides graphical user interfaces to handle the process of entering orders for desired positions, monitor the status of open positions, and obtain data in connection order requests. The trading platform is also capable of matching orders and sending orders to be executed.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of U.S. Provisional Patent Application No. 61/791,209, entitled SYSTEM AND METHOD FOR ODD LOT CLEAR-UP, filed Mar. 15, 2013, the contents of which are incorporated herein by reference.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The embodiments of the present invention relate to systems and methods for trading financial instruments and, in particular, to systems and methods for clearing odd lots with respect to all types of financial instruments, especially in fixed income financial instruments, such as bond markets (e.g., cash credit markets, government bonds, covered bonds, etc.).

2. Description of Related Art

Increasingly punitive balance sheet constraints and funding costs potentially threaten dealers providing liquidity in the e-traded segment of the market—typically in more “on the run” issues and in smaller trade sizes. This is exacerbated by steady increase in smaller sized tickets from index tracking funds and fast growing ETF market leading to high number of small line items on dealer books. Thus, Dealers need to increase velocity of turnover of these positions in order to maintain profitability. Current Interdealer Broker (IDB) markets are not servicing this need satisfactorily.

Accordingly, there's a need for efficient computerized systems and methods of matching to clear “odd lot” or “scrap” bonds from balance sheets.

SUMMARY OF THE INVENTION

In accordance with various embodiments of the invention, and as shown herein, various computerized systems and methods are disclosed which generally matches individual dealers opposing positions in bonds with a view to reducing their balance sheet positions in “odd lot” bonds to increase balance sheet efficiency. Netting/crossing of dealer long/short positions could address a meaningful proportion of buyer/seller (B/S) positions.

In general, in an exemplary embodiment, a computerized electronic trading system and method is provided that permits a user (e.g., a dealer) using a user computer to electronically input their positions into the trading system before the pre-specified session time expires. Each participating dealer will input their positions via a computer (e.g., a dealer computer) so that the trading system will hold details of each individual dealer's positions indicating without limitation whether or not they want to buy or sell each security and the size of said orders. The trading system includes one or more computers at least one message server for communicating electronic messages to the dealer computers, and a database system including at least one storage device, the database system stores data related to the dealers and positions. The computerized electronic trading system may be programmed with matching systems, modules, and/or algorithms, including one or more sub-components to handle receipt of position data, identify matching positions, determine minimum trade sizes, analyze changes in participant's risk, determine limits, prioritize dealers, matches and/or positions with the goal of maximizing match volume (using various methodologies), and generate prices for trades.

The invention disclosed herein may preferably be integrated into various types of electronic trading platforms. Trading platforms are well known in the art, for example, as disclosed in U.S. Pat. No. 7,433,842, entitled METHOD AND SYSTEM FOR EFFECTING STRAIGHT-THROUGH-PROCESSING OF TRADES OF VARIOUS FINANCIAL INSTRUMENTS, issued Oct. 7, 2008 and filed Mar. 25, 2004 as U.S. patent application Ser. No. 10/808,820, the entirety of which is incorporated herein by reference.

The invention disclosed herein may also utilize matching systems, such as, for example, those disclosed in U.S. patent application Ser. No. 12/907,667, entitled METHOD AND SYSTEM FOR IDENTIFYING HIGH PROBABILITY TRADE MATCHES, filed Oct. 19, 2010, the entirety of which is incorporated herein by reference.

It should be noted that although the embodiments described may use multiple software modules for performing the various functions of the system, other embodiments could be implemented using any number of modules, with any single module incorporating the functions of several, or all, of the modules. The precise design of the software and the programming language used may be designed differently within the scope of the present invention. The software modules can be created using art recognized programming languages, including but not limited to C++, ASP, Java, C#, ASP.NET, or PHP or any combination of known or later developed programming languages that allow the functionality described.

It will also be understood that, although the various embodiments of the present invention described herein are being described in terms of web-based centralized server architecture, a thin client, fat-client, or peer-to-peer type arrangement could be substituted for the system architecture described herein and are within the scope of the present invention. Additionally, the programming described herein can be stored in a machine readable form on a computer readable medium, such as a CD-ROM or DVD, and distributed to users for installation on user computers. Alternatively, such programming can be downloaded via network. In either embodiment, communication with the system may be effected across known networks, such as the Internet.

BRIEF DESCRIPTION OF THE DRAWINGS

It will be appreciated by those skilled in the art that the figures are purely illustrative, and that the system may be implemented in any number of ways, by the actual designers, as long as the functionality as described herein, stays intact. Furthermore, with regard to one or more of the figures, diagrams, and/or charts shown herein, due to limitation in capturing the entire screenshot into one picture, such figures, diagrams, and/or charts depict exemplary embodiments of the described subject matter taken in portions of the screenshots that reference other portions.

In the drawing figures, which are merely illustrative, and wherein like reference characters denote similar elements throughout the several views:

FIG. 1 is a diagram of an exemplary embodiment of a trading system in communication with various user computers;

FIG. 2A is a screen shot depicting an exemplary graphical user interface of various features of an exemplary embodiment of a trading system;

FIG. 2B is a screen shot depicting an exemplary spreadsheet of sample positions;

FIG. 2C is a screen shot depicting an exemplary graphical user interface of various features of an exemplary embodiment of a trading system;

FIG. 2D is a screen shot depicting an exemplary graphical user interface of various features of an exemplary embodiment of a trading system;

FIG. 2E is a screen shot depicting an exemplary graphical user interface of various features of an exemplary embodiment of a trading system;

FIG. 2F is a screen shot depicting an exemplary graphical user interface of various features of an exemplary embodiment of a trading system;

FIG. 3 is a table of exemplary data reflecting various features of an exemplary embodiment of a trading system and/or method;

FIG. 4 is a table of exemplary data reflecting various features of an exemplary embodiment of a trading system and/or method;

FIG. 5 is an exemplary embodiment of a trade summary report that may be generated by an exemplary embodiment of a trading system and/or method;

FIG. 6 is a chart of exemplary data reflecting various features of an exemplary embodiment of a trading system and/or method;

FIG. 7 is a table of exemplary data reflecting various features of an exemplary embodiment of a trading system and/or method;

FIG. 8 is an exemplary embodiment of a decision tree reflecting various features of an exemplary embodiment of a trading system and/or method;

FIG. 9 is an exemplary embodiment of a decision tree reflecting various features of an exemplary embodiment of a trading system and/or method; and

FIG. 10 is a table of exemplary data reflecting various features of an exemplary embodiment of a trading system and/or method.

DETAILED DESCRIPTION OF THE EXEMPLARY EMBODIMENTS

In an exemplary embodiment, the concept of an electronic session based matching process can be used to reduce odd lot financial instruments, such as odd lot bonds. A trading system 1 that may include various software modules for execution of various processes and that is connectable with dealer via the dealer's computers is preferably provided.

For example, FIG. 1 shows an exemplary embodiment of a trading system 1 in communication with various dealer computers 200. The trading system 1 preferable includes, or more computer systems 170, databases 180, and related database management systems. The trading system 1 also preferably provides the dealers a trading platform graphical user interface (GUI), such as GUI 10 (FIG. 2A).

With reference to FIGS. 2A-2F, in an exemplary embodiment, the GUI 10 includes an order entry screen 19 to allow dealers to enter orders (see, e.g., FIG. 2C). Dealers may contribute positions 31 via an upload or copy the positions from an excel spreadsheet 30 (or any other database/list) into the order entry screen 19. Such positions 31 may be dragged or inputted by the dealers into GUI 10 and are aggregated up to a point in time and, at a predetermined time, the system performs its matching process. The trading system 1 operates to seek matching positions in an anonymous manner, such that positions 31 will not be known to other dealers except when a position 31 matches a specific position of another dealer (e.g., opposes the position of the other dealer) and a trade is generated with one of their counterparts on system.

Positions 31 may include the ticker or International Securities Identification Number (ISIN) identification code 32 for a bond and a desired quantity 33. The order entry screen 19 may include a ticker or ISIN field 11 and a quantity field 12. The ticker or ISIN code 32 of a bond may be uploaded or copied into the ticker or ISIN field 11 of the order entry screen 19 and the designed quantity 33 may be uploaded or copied into the quantity field 12 of the order entry screen 19.

The order entry screen 19 may also include a Buy/Sell field 13 to indicate whether the user is seeking to buy or sell bonds. The GUI 10 may also include a price field 14. In an exemplary embodiment, the price is a mid price generated by the trading system 1, which is updated in substantially real-time based on a predetermined composite price (e.g., a D2C composite, or a trading system 1 composite price). The order entry screen 19 may also include a limit price field 20, which allows the user to specify price limits for a particular position 31.

In one embodiment, the mid price is determined by the trading system 1 based on the mid price of a predetermined composite. Preferably, the trading system 1 seeks out the mid price of the composite at the time a matching session begins.

In a preferred embodiment, GUI 10 includes a timer 16. The trading system 1 may be set to stop accepting orders at a predetermined time. The timer 16 preferable counts down to the 0:00 to indicate when the trading system 1 stops accepting orders (e.g., FIGS. 2E-2F). The trading system 1 may also be set to perform matching at a predetermined time. In another embodiment, the timer 16 may count down to the time at which the trading system 1 is set to perform matching. In some embodiments, multiple timers 16 may be provided, which keep track of the time remaining until various predetermined events are triggered.

GUI 10 preferably includes one or more risk limit fields 17, which provide the user the ability to set risk limits for various factors, e.g., interest rate risk limits for various maturity buckets. For example, inflation linked bonds, if the risk limit has been used to set at 10M, this means that after the trading system 1 runs its matching algorithm, the matches preferably do not change by more than the set limit amounts.

Preferably, when the positions 31 are uploaded or copied into order entry screen 19, the order is not yet submitted. A user may submit an order for one or more positions 31 by clicking on the Submit button 15. The order entry screen 19 may include a status field 18, indicating the submitted status of an order. Prior to submission, the status field 18 preferably indicates that the order has not yet been sent (FIG. 2C). Once the order is submitted, the status field 18 preferably indicates that the order has been sent (FIG. 2D).

In an exemplary embodiment, any position 31 may be removed by the dealer while the timer 16 is counting down. A user can remove any position 31 that has been submitted before the timer 16 hits 0:00 by selecting the position 31 to be removed and clicking on the cancel button 21. When a position 31 is removed, preferably the status field 18 indicates that the removed position 31 has been cancelled.

In an exemplary embodiment, once the trading system 1 is ready for matching, the trading system 1, employing matching systems, modules, algorithms, and/or sub-components, determines whether there is a match by comparing positions 31 with positions of other dealers and determining whether any positions opposing a position 31 are present. Preferably, a match is made when a position opposing position 31 is present. However, the trading system 1 may be configured to determine matches based on a variety of predetermined factors, without limitation.

In an exemplary embodiment, the trading system 1 engages in matching when the timer 16 hits 0:00 or in or around the time the timer hits 0.

In one exemplary embodiment of a matching algorithm implemented on the trading system 1, the trading system 1 searches for possible matches on an ISIN by ISIN basis with positions 31 ranked by: (1) dealer percentile; (2) dealer absolute rank; (3) dealer crossable volume; and (4) the entry time of the order. In one embodiment, the dealer percentile is determined by ranking of orders based on total liquidity for a dealer in said ISIN with ISIN with smallest liquidity assigned highest priority. The dealer absolute rank is determined by possible crossable volume for said dealer. The dealer crossable volume is determined by the number of possible matches a dealer has to offer as compared to other orders in the trading system 1. The entry time of the order is the time at which a dealer submits positions 31. The trading system 1 also preferably prioritizes (1) market orders over limit price orders; (2) wide limits over narrow limits (i.e., lower limits are preferred for sell orders and higher prices are preferred for buy orders); and disincentivizes shorter lists of position entries. Any positions 31 with a price limit outside the trading system's 1 mid price are preferably excluded from the matching process. Furthermore, trading system 1 may split positions 31 into shorts and longs and organize positions 31 into percentiles, the smallest being in the first percentile. Preferably, orders with price limits are processed last.

In an exemplary embodiment, the trading system 1 is preferably capable of maximizing the reduction and/or closure of large positions by performing a position ordering analysis. In one embodiment positions may be ranked for each dealer in percentiles based on size (long/short separately). Any orders with limits (price, risk, and/or otherwise) can be moved to the bottom of the list following the same criteria. Dealers may be ranked on relative basis based on maximum “Crossable Volume. All positions may be aggregated and ranked on first “Percentile Rank” and then on “Dealer Rank.” The dealer with the highest potential crossable volume may be allowed to go first.

For example in an exemplary embodiment, the dealers may have the rankings shown in FIG. 3. In this example, an exemplary embodiment of an algorithm implemented on trading system 1 is preferably capable of performing the following functions:

-   -   Match the 1^(st) Short ISIN with the highest priority for the         1^(st) dealer against the dealer with contra position with the         highest priority. If two dealers share same priority on a         position, the volume would be split in equal proportions amongst         them;     -   Loop until no further volume can be matched for this Short         Position. Stop at the last marker order;     -   Go to the next case until reaching the last Short position         (including limit orders);

For example, in the listing shown in FIG. 4, Dealer 1 has a cancelled out final position when matched with Dealer 7 which is left with a 2,300 final position. Similarly, Dealer 2 would result in a cancelled out final position when matched with Dealer 6.

In an exemplary embodiment, dealer positions 31 are aggregated immediately prior to the matching session, with liquidity focused at a point in time and matches created based on this liquidity. Various software algorithms and modules may be provided in furtherance of this functionality, which are capable of, by way of non-limiting example:

-   -   Maximizing potential crossed volume;     -   Maximizing individual closed dealer positions (e.g., by         prioritizing closure of smaller dealer positions;     -   Allocating potential matches in an equitable manner between         dealers (in some embodiments, while achieving the above); and     -   Preventing dealers been left with positions below minimum         tradable size in a bond (where original position was above this         level).

Once the trading system 1 determines potential matches, the trading system 1 assesses the potential matches to ensure that any risk limits placed by the dealer are not violated by a trade. In the event that a match breaks a risk limit, the trading system 1 will break the trade and look to generate another match in order to maximize the match volume.

In an exemplary embodiment, where a match occurs, the trade matches at the trading system's 1 mid price. Checks are applied to these generated trades to ensure that any risk limits set by dealers aren't broken by the net effect of trades generated (e.g., their interest rate risk hasn't changed beyond set parameters) or that during the running of the session the wider market hasn't seen volatility beyond any set parameters. At the end of the session these generated trades are sent to dealers and may be processed straight through into the dealers' accounts on both sides of the trade using risk and/or booking systems. Preferably, as long as no limits set by the user and/or system or rules established by the system or applicable to the guidelines are broken, the trades are generated using this mid price.

In an another embodiment, when trades are generated in a matching session, the trades will be matched with the trading system 1 acting as a broker on a matched principal basis such that the counterparties do not know which other dealer(s) their side of the trade is being matched against. Thus, the trading system 1 acts as a riskless principal. Where a counterparty has traded a single order of a certain size with the trading system 1 acting as the broker which has been matched against multiple counterparties on the other side taking up all or part of that size, the algorithm will collapse such trade so that the original order generates a single trade regardless of how many orders are generated on the other side to fill or partially fill that original order. This reduces operational complexity for users of the system and reduces settlement cost.

Once the session is closed/finished, the GUI 10 preferably provides the user with data about whether orders have been filled. For example, with reference to FIG. 2E, GUI 10 may include a fills screen 40, which preferably includes a status field 41 that indicates whether an order for a particular position 31 has been filled. The fills screen 40 may also include a quantity field 42 that indicates the quantity of the each bond that has been filled and a ticker/ISIN field 43 that identifies each bond. A counterparty field 44 may also be provided, which indicates the counterparty the user has traded with.

With reference to FIG. 2F, in an exemplary embodiment, GUI 10 preferably includes an orders and fills screen 50. The orders and fills screen may include a ticker/ISIN field 51 that identifies each bond, a quantity field 52 that indicates the quantity of each bond acted upon, a status field 53 that indicates whether the order for a particular bond was filled, a price field 54 that indicates the price at which a bond has traded, and a counterparty field 55 that indicates the counterparty the user traded with.

In an exemplary embodiment, users can download data from any of the order entry screen 19, the fills screen 40, and/or the order and fills screen 50 to an excel spreadsheet (or any other type of database configured to work with the trading system 1) by clicking a button provided in the GUI 10. In one embodiment, the GUI 10 includes an excel button 100, which permits the user to download such an excel file with the desired data.

In an exemplary embodiment, the trading system 1 may provide dealers with automated summary reports of their transactions. Such reports may contain:

-   -   details of total matched volumes and positions at an aggregated         level and by sector;     -   a list of all possible matches missed due to limit price; and/or     -   a list of all executed trades.         A screen shot of a sample summary report is shown in FIG. 5.

In other exemplary embodiments, other fields for data relating to the order may also be provided in the order entry screen 19, the fills screen 40, and/or the orders and fills screen 50, without limitation. In order to calculate the composite to determine the mid price at which a trade will match, dealers send indicative price levels as bids and offers. When a trade is generated for a participant on the trading system 1 checks may be performed to determine an implied P&L/BestEx value based on a dealer's indicative price. For example, if a dealer makes a buy order in a matching session, the trading system 1 may perform an analysis to compare the dealer's offer price in said bond at the same time as the session is run with the price the dealer is matched at. The difference in these prices is multiplied by quantity to determine an implied value. Data based on this analysis may be relayed to participants at the point of execution or following the session.

In an exemplary embodiment, when a dealer submits a position 31 greater than the minimum tradable size, post session (e.g., after the matching algorithm has run) the dealer will have either completely matched position 31 or be left with a new position greater than minimum tradable size.

The trading system 1 may also receive and/or handle matching and/or data relating to positions 31 that fall below the minimum tradable piece and/or size for a particular bond. In an exemplary embodiment, in the event that one (or both) potential counterparties to an offsetting trade hold: (a) position(s) in less than the minimum tradable piece/size and increment as defined by the term-sheet and prospectus for that security, the trading system 1 will generate two offsetting trades rather than one in order to abide by the minimum tradable size and increment rules for that security.

By way of example, if two potential counterparties each hold a position of nominal 50,000 face value in a bond with a minimum tradable size of nominal 100,000 face value and minimum incremental size of nominal 1,000 face value (one short 50,000: counterparty A, one long 50,000: counterparty B), rather than generate one offsetting trade of 50,000 between the two counterparties the trading system 1 would generate two trades:

-   -   the first would be a purchase of nominal 150,000 by counterparty         A from counterparty B     -   followed immediately by a sale of nominal 100,000 by         counterparty A to counterparty B.         Both these trades would be executed at the same mid price as         defined by the trading system. The net value of the trades would         still be the same but this succession of trades would address         both parties' positions and clear the odd lot.

In alternative embodiments, the trading system 1 may include a positions module capable of analyzing “scrap” positions (e.g., long/short credit positions smaller than nominal 1M) from one or more dealers and providing a price composite for such positions. The trading system 1 may further determine the opposing positions that cross (based on odd lot and/or scrap data received by the trading system) and provide an analysis of such crossed positions (e.g., in tabular, chart, or any other format).

For example, the chart shown in FIG. 6 shows an exemplary depiction of the concentration of netted volume across the 1,400 different ISIN's which netted positions. This is based on an analysis of “scraps” positions from 8 dealers. Based on the universe of positions provided: ≈6,000 positions (long & short) totaling >

2.5Bn). Assuming that all opposing positions cross (based on contributed data), the proportion of trades which net out: (1) 29% by # trades; and (2) 29% by volume. The tables in FIG. 7 show the volume which could cross/net based on data provided.

In an exemplary embodiment, crossing sessions may be hosted using the trading system. Dealers may provide positions to the trading system which they wish to net prior to a crossing session. In this regard, the trading system is preferably capable of accepting data relating to, without limitation, a position's ISIN, size, and direction. The trading system may also be programmed to optionally accept data relating to tolerance (which may be a cash price or spread above/below which specific position is not included in crossing exercise), price, and any other trade requirements or limitations. The trading system is capable of determining crossed positions using any combination of the data received from the one or more dealers. In this regard, the trading system may establish mid-market reference points for all bonds that could cross within a session. A price composite may be used when there are multiple dealers providing prices of a particular bond. However, where a price composite in a specific bond is not appropriate, third party reference prices may be used. The trading system may find that positions cross at mid using above price reference as long as the price is within price tolerances provided by the trader when the position was submitted.

In an exemplary embodiment, the trading system is capable of running the following crossing models:

-   -   Prioritizing the closure of small positions;     -   Splitting crossable volume equally on an ISIN level; and/or     -   Prioritizing the closure of large positions.

In an exemplary embodiment, in systems operation, the crossing session may be run as follows:

-   -   Prior to the crossing session: Dealers can upload their         positions to the trading platform. At start of the crossing         session those positions with price tolerance are checked against         one or more reference prices (which may be a composite produced         by the trading system or a third party reference). Those         positions outside guidance (based on a predetermined criteria or         otherwise) may be excluded. Positions with no contra may also be         removed from the crossing session. Market orders may be         prioritized over limit orders and the widest submitted prices         may be prioritized.     -   Session 1: An algorithm runs on the trading system seeking to         maximize matches (algorithm may start with short positions).     -   Session 2: This session may be run where orders have been         excluded due to price tolerance and a contra position still         exists. Dealers can be notified with details on potential cross         and required price level. The trading system may provide an         option to update the position and re-enter into final session.         All updated positions may be collated and the algorithm runs         again on the remaining positions applying the same methodology.     -   Completion: The full details of all matches may be provided back         to dealers. Details of missed matches due to price tolerance         outside market mid may also be provided back to dealers.

In this manner, the trading system 1 can efficiently prioritize the closure of small/large positions.

In an exemplary embodiment, the trading system 1 is preferably capable of maximizing the reduction and/or closure of large positions by performing a position ordering analysis. In one embodiment positions may be ranked for each dealer in percentiles based on size (long/short separately). Any orders with limits (price, risk, and/or otherwise) can be moved to the bottom of the list following the same criteria. Dealers may be ranked on relative basis based on maximum “Crossable Volume. All positions may be aggregated and ranked on first “Percentile_Rank” and then on “Dealer Rank.” The dealer with the highest potential crossable volume may be allowed to go first.

For example in an exemplary embodiment, the dealers may have the rankings shown in FIG. 3. In this example, an exemplary embodiment of an algorithm implemented on trading system 1 is preferably capable of performing the following functions:

-   -   Match the 1^(st) Short ISIN with the highest priority for the         1^(st) dealer against the dealer with contra position with the         highest priority. If two dealers share same priority on a         position, the volume would be split in equal proportions amongst         them;     -   Loop until no further volume can be matched for this Short         Position. Stops at the last marker order;     -   Go to the next case until reaching the last Short position         (including limit orders);

An exemplary embodiment of a decision tree 400 for the closure methodologies for prioritizing the closure of Small/Large positions performable by an embodiment of the trading system 1 is shown in FIG. 8. This such embodiment, the trading system calculates a priority for the particular dealer and position using the following methodology (see 401):

D ₁ ·P ₁.ISIN₁=Dealer 1−Priority 1−ISIN1

The trading system 1 determines whether there is another dealer with the same priority (407) or whether there are 2 or more dealers with the same priority (see 402).

If there is 1 dealer with the same priority, then the trading system 1 matches as much volume as possible (see 408). The trading system 1 determines whether all of the volume has been allocated (see 409). If all the volume has been allocated, then the system moves onto the next ISIN for the dealer until each ISIN for that dealer has been processed (see 410). The next priority is calculated using the following methodology (see 410):

D ₁ ·P ₁·ISIN₂=Dealer 1−Priority 1−ISIN

If not all the volume has been allocated, the trading system 1 goes back to step 408 to match volume.

If there are 2 or more dealers with the same priority (see 402), then the trading system 1 allocates volume equally across all the dealers with the same priority. Then the trading system 1 determines whether all the volume has been allocated (see 404). If all the volume has been allocated, then the trading system 1 moves onto the next ISIN for the dealer until each ISIN for that dealer has been processed (405). The next priority is calculated using the following methodology (see 405):

D ₁ ·P ₁·ISIN₂=Dealer 1−Priority 1−ISIN

If not all the volume has been allocated, then the trading system 1 goes back to step 403 to allocate volume.

In an exemplary embodiment, the trading system 1 is capable of applying an even split methodology to split crossable volume equally on an ISIN level. Preferably, the trading system 1 is capable of analyzing all the positions on an ISIN per ISIN basis in two runs:

1. Excluding limit orders;

2. Including limit orders (prioritized based on price tolerance)

An exemplary embodiment of a decision tree 500 used for the even split methodology is shown in FIG. 9. In this embodiment, the trading system 1 assesses whether a particular ISIN has more long or short volume (see 501). If the amount of long volume is greater than the amount of short volume (see 502), then the trading system 1 splits the short crossable volume in equal proportion of the submitted long volume and then goes to the next ISIN to perform the same analysis (see 505). If the amount of long volume equals the amount of short volume (see 503), then the trading system 1 closes all positions and goes to the next ISIN to perform the same analysis (see 506). If the amount of long volume is less than the amount of short volume (see 504), then the trading system 1 splits the long crossable volume in equal proportion of the submitted short volume and goes to the next ISIN to perform the same analysis (see 507).

This decision tree is applied in the example illustrated in FIG. 10. In the scenario shown in FIG. 10, because the long volume is greater than the short, the short crossable volume is split in equal proportion to the submitted long volume. The table shows that there are 250 long positions and 50 short positions. Hence, 250>50 and the top block in the above decision tree applies. The 50 short positions of D1 are closed out proportionally between D2 and D3. D2, who has 100 long positions, can purchase 20 of the short positions and D3 who has 150 long positions can purchase the other 30 short positions.

It should be noted that references herein to phrases such as “one embodiment” or “an embodiment” means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The phrases such as “in one embodiment” or “in certain embodiments” in various places in the specification are not necessarily, but can be, referring to the same embodiment. Use of the term “preferred” or “preferably” is intended to indicate a configuration, set-up, feature, process, or alternative that may be perceived by the inventor(s) hereof, as of the filing date, to constitute the best, or at least a better, alternative to other such configurations, set-ups, features, processes, or alternatives. In no way shall the use of the term “preferred” or “preferably” be deemed to limit the scope of the claims hereof to any particular configuration, set-up, feature, process, or alternative.

While there have been shown and described fundamental novel features of the invention as applied to the exemplary embodiments thereof, it will be understood that omissions and substitutions and changes in the form and details of the disclosed invention may be made by those skilled in the art without departing from the broad inventive concept thereof. It is understood, therefore, that this invention is not limited to the particular embodiments disclosed, but it is intended to cover modifications within the spirit and scope of the present invention as defined by the appended claims. While there had been shown and described fundamental features of the invention as applied to being exemplary embodiments thereof, it will be understood that omissions and substitutions and changes in the form and details of the disclosed invention may be made by those skilled in the art without departing from the spirit of the invention. Moreover, the scope of the present invention covers conventionally known, future developed variations and modifications to the components described herein as would be understood by those skilled in the art. It is the intention, therefore, to be limited only as indicated by the scope of the claims appended hereto. It is also to be understood that the following claims are intended to cover all of the generic and specific features of the invention herein disclosed and all statements of the scope of the invention that, is a matter of language, might be said to fall therebetween. 

1. A system for matching one or more first trading positions of a first dealer with one or more second trading positions of a second dealer, the system in communication with one or more first dealer computer systems and one or more second dealer computer systems having software operable thereon that enables communication with the system, the system comprising: an order entry system including one or more computer systems operative to accept the one or more first trading positions and the one or more second trading positions; a matching system including one or more back-end computer systems operative to match one of the first trading positions with one of the second trading positions based on a predetermined criteria; a graphical user interface that permits the first dealer and second dealer to submit and monitor the one or more first trading positions and the one or more second trading positions; wherein the system is configured with programming to: accept the one or more first trading positions and the one or more second trading positions; determine whether any first trading position is a match to any second trading position; and execute a trade when a match is formed.
 2. The system of claim 1 wherein: the matching system is further operative to determine whether any first trading position is opposed to any second trading position; and the system is further configured with programming to form matches when one of the first trading positions is opposed to one of the second trading positions.
 3. The system of claim 1 wherein: the system further comprises a prioritizing module operative to assign a rank to the first dealer and second dealer; and the system is further configured with programming to form matches based on the ranks of the first dealer and the second dealer.
 4. The system of claim 1 wherein: the system further comprises a prioritizing module operative to assign a percentile to the first dealer and second dealer; and the system is further configured with programming to form matches based on the percentiles of the first dealer and the second dealer.
 5. The system of claim 1 wherein: the first trading positions each include a unique identifying code for a financial instrument and a quantity of such financial instrument to be traded; and the second trading positions each include a unique identifying code for a financial instrument and a quantity of such financial instrument to be traded.
 6. The system of claim 1 further comprising a fills system including one or more computer systems operative to indicate whether any of the first orders or second orders have been filled.
 7. The system of claim 1 further comprising an orders and fills system including one or more computer systems operative to display data concerning the one or more first trading positions and the one or more second trading positions.
 8. The system of claim 1 wherein the graphical user interface includes a timer capable of tracking the amount of time remaining for the first dealer and second dealer to submit trading positions.
 9. A method for matching one or more first trading positions of a first dealer with one or more second trading positions of a second dealer on a system in communication with one or more first dealer computer systems and one or more second dealer computer systems having software operable thereon that enables communication with the system, the method comprising: accepting the one or more first trading positions from the first dealer; accepting the one or more second trading positions from the second dealer; forming matches between one of the first trading positions and one of the second trading positions based on a predetermined matching criteria when any first trading position is opposed to any second trading position; and forwarding trades for execution based on the matches.
 10. The method of claim 9 wherein the matches facilitate elimination of odd lots for at least one of the first dealer and second dealer.
 11. The method of claim 9 further comprising: assigning dealer priorities to the first dealer and the second dealer based on a predetermined dealer criteria; and wherein the predetermined matching criteria is based on the dealer priorities.
 12. The method of claim 11 wherein the predetermined dealer criteria includes at least one of: a dealer percentile; a dealer rank; a dealer volume; and a dealer time entry.
 13. The method of claim 9 further comprising: assigning position priorities to the first trading positions and the second trading positions based on a predetermined positions criteria; and wherein the predetermined matching criteria is based on the position priorities.
 14. The method of claim 9 further comprising: receiving trade limits from one of the first dealer and the second dealer; determining whether any matches violate the trade limits; and cancelling the trade if any match violates a trade limit. 